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A centre of expertise in digital information management www.ukoln.ac.uk UKOLN is supported by: Dealing with Data: Perspectives on Progress to Date Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre Research Data Management Workshop, Oxford, June 2008. This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0
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UKOLN Liz Lyon June 2007 35 Recommendations for JISC Roles, Rights, Responsibilities, Relationships: scientist, institution, data centre, user, funder, publisher Research Information Network RIN January 2008 5 Principles: Roles & responsibilities, standards & QA, access, usage & credit, benefits & cost-effectiveness, preservation & sustainability What has been achieved?
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Report Recommendations 1 DataSets Mapping and Gap Analysis (UK) Data Curation & Preservation Strategy (UK) Rec 4 HE Institutions Data Audit Framework Institutional Data Management, Preservation & Sharing Policy Data Management & Sharing Policy (Funders) Data Management Plan (Projects) Data Networking Forum (People)
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Data Audit Framework (DAFD) JISC funding HATII, University of Glasgow Draft Methodology V1.1 Audit case studies: –Univ Glasgow (archaeology) –Univ Bath/UKOLN (engineering) –Kings College (bio-informatics) –Univ Edinburgh (geosciences) Pilots: Univ Edinburgh, Imperial College, Kings College, UCL Online tool development Presentation to follow….
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eCrystals Curation & Preservation Study Working with the Digital Curation Centre Examined four main areas 1.Audit and certification (TRAC, DRAMBORA, NESTOR, ISO International repository audit and certification BOF Group) 2.The Open Archival Information System (OAIS) and Representation Information (RI) 3.eBank-UK application profile and preservation metadata 4.ePrints.org repository platform Recommendations http://www.ukoln.ac.uk/projects/ebank- uk/curation/eBank3-WP4-Report%20(Revised).pdf
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eCrystals Federation: Preservation & sustainability Recommendations Data repositories Use DRAMBORA Interactive for self- assessment Add PREMIS preservation metadata Collect eCrystals representation information Examine repository platform conformance to OAIS Reference Model Survey partner preservation policies Digital Curation Centre partnership
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Shared Research Data Service Feasibility Study HEFCE award £255K via RLUK and RUGIT to SERCO Objectives: –Develop understanding of UKs current and future research data service needs –Work with other UK stakeholders to identify priorities for action –Develop a number of scenarios/options for the shared service from do nothing to a managed national service –Develop a detailed business plan for the preferred option(s) –Include assessment of costs and benefits in options appraisal –Indicate both scale of investment required & an estimate of likely ROI –Present outline governance and management proposals for the preferred option(s) 4 case study volunteers: Bristol, Leeds, Leicester and Oxford Report January 2009
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Report Recommendations 2 DataSets Mapping and Gap Analysis (UK) Data Curation & Preservation Strategy (UK) Data Audit Framework (HE Institutions) Institutional Data Management, Preservation & Sharing Policy Data Management & Sharing Policy (Funders) Data Management Plan (Projects) Rec 5 : Data Networking Forum (People) linked to RIN Framework Principle 1
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Research Data Forum March 2008,Manchester http://www.dcc.ac.uk/data-forum/ Joint DCC – RIN event Data centre managers, IR managers, funders & policy makers Aims & Objectives: –Improve data acquisition, management, analysis, validation, archiving and dissemination –Increase awareness of national & international data policies and standards –Facilitate co-operation between organisations and individuals –Exchange experience and best practice Next meeting in November in Birmingham, UK (tbc)
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Heard at the Forum…. protected by PDF Rembrandt in the attic Dont forget the researcher! stuff isnt getting done demand outstrips supply… careers developed more by luck than judgement Data managers as failed scientists need to sit down and write the manual teeth and sticks and carrots professionalising data management Data is not just about eScience/eResearch we need services not projects!
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Keynotes: David Porteous, Generation Scotland, John Wilbanks, Science Commons, Martin Lewis, RLUK, Malcolm Atkinson, NeSC Sessions: Sustainability, Privacy issues, collaborative approaches to data sharing Call for Papers: submit now! Developing the curation community
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Recommendations 3 Digital Curation Centre Co-ordinated advocacy programmes Rec 33 Co-ordinated training programmes Disciplinary Data Case Studies (SCARP) scientist institution data centre user funder publisher Roles, Rights Responsibilities Relationships:
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DCC Digital Curation 101 Digital Curation Centre 6-10 October 2008 National eScience Centre, Edinburgh Intensive course Lectures + hands-on Target participants: bench scientists, LIS professionals, computational scientists Survey questionnaire http://www.dcc.ac.uk/jisc/data_ projects_questionnaire/
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http://jiscpowr.jiscinvolve.org/
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Report Recommendations 4 Instrumentation and laboratory equipment Dataset re-use: significant properties Versions, identifiers, citation Robust bi-directional linking IPR and model licences for data Rec 34 Careers, specialist skills, capacity Rec 35 Data curation in the curriculum Rec 30 Cost-benefits of data curation
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JISC Curation Careers study Key Perspectives (Alma Swan) Skills, role & career structure of data scientists & curators: an assessment of current practice & future needs 1.Training: LIS and informatics schools curricula 2.Career structures, pathways, rewards: interviews / focus groups with scientists, data scientists, Survey questionnaire: collaborating with DCC and Curation 101 Programme. 3.Establish skills needed: 2 case studies (rural & economic land use and systems biology), interviews with academic librarians, research funder reps, data centre managers
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JISC Preservation costs study Neil Beagrie, Julia Chruszcz, Brian Lavoie April 2008 Presentation to follow….
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Recommendations 5 Digital Curation Centre Co-ordinated advocacy programmes Co-ordinated training programmes Rec 11 Disciplinary Data Case Studies (SCARP) scientist institution data centre user funder publisher Roles, Rights Responsibilities Relationships:
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Immersive approach to case studies Disciplinary factors in curating Architectural Research (Colin Neilson) Curating Brain Images in a Psychiatric Research Group (Angus Whyte) Curating earth observation data (Esther Conway) www.dcc.ac.uk/scarp/
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Factors looked at by SCARP
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Report Practice Recommendations 6 Instrumentation, laboratory equipment Dataset re-use: significant properties Versions, identifiers, citation Robust bi-directional linking IPR and model licences for data
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Interviews & analysis of a discipline: crystallography Synthesis: IR Policy & Practice, Laboratory Practice & Workflows, Technical Interoperability & Standards, Metadata Schema & Application Profiles, Semantic Interoperability, Data Citation, Identifiers & Linking, Federation Architectures & Third Party Services, Rights & Licensing, Data Quality & Validation, Preservation, Curation & Sustainability Recommendations (7), commentary May 2008 UKOLN and University of Southampton Scaling Up Report
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Findings: Diverse lab practice LIMS and proprietary formats Data policy should reflect lab practice & institutional model Data quality criteria/validation Prior publication problem We need scalable assignment of terms for data discovery No discipline preservation model
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Sub-institutional repositories: departmental, laboratory, research group Laboratory informatics + LIMS Automatic term assignment for discovery Open data licence(s) Data validation and QA Quantitative criteria for appraisal Collective intelligence and repository content & services Scaling Up Report 7 Recommendations
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Scaling Up Report Checklist of Community Criteria for Interoperability Disruptive effects diverse lab practice instrument lock-in limited data-sharing culture lack of m2m interfaces fragmented strategy and planning
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Research data application profiles JISC-funded scoping study UKOLN (Alex Ball) To assess feasibility, validity and functionality of application profiles for research data Consider disciplinary requirements and data models Define and validate usage scenarios Scope a community uptake strategy Identify key stakeholders and any barriers to adoption Timescale to complete Autumn 2008
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To Share or not to Share Latest RIN Report June 2008 Presentation to follow…
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…And what hasnt happened? UK level co-ordination, strategic planning, policy development and investment ….. ? Infrastructure Advocacy
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A centre of expertise in digital information management www.ukoln.ac.uk Slides will be available at : http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/presentations.html
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